 is a variant of instance segmentation, additionally considering the detection of shadows and their associations with objects.
LISA [1]} is the first method for the task, with a two-stage end-to-end framework to predict bounding boxes and masks of shadow/object instances, as well as their associations, in images.
It also includes
a strategy to pair shadow and object instances.
Recently,
SSIS [2]}, [3]}
approaches the task with a single-stage fully convolutional network architecture and
a bidirectional relation learning module to learn the relation between the shadow and object instances.
Video instance shadow detection (VISD) extends the instance shadow detection task to the video domain.
Its goal is to achieve instance shadow detection and also instance paired tracking in videos.
In this work, SSIS serves as a baseline
of our SSIS-Track.
